<!-- This comment will put IE 6, 7 and 8 in quirks mode -->
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<title>include/shark/Data/DataDistribution.h Source File</title>
<script type="text/javaScript" src="search/search.js"></script>
<script type="text/javascript" src="jquery.js"></script>
<script type="text/javascript" src="dynsections.js"></script>
<script src="https://polyfill.io/v3/polyfill.min.js?features=es6"></script>
<script id="MathJax-script" async src="https://cdn.jsdelivr.net/npm/mathjax@3.0.1/es5/tex-mml-chtml.js"></script>
<script src="../../mlstyle.js"></script>
<link href="../css/besser.css" rel="stylesheet" type="text/css"/>
</head>
<!-- pretty cool: each body gets an id tag which is the basename of the web page  -->
<!--              and allows for page-specific CSS. this is client-side scripted, -->
<!--              so the id will not yet show up in the served source code -->
<script type="text/javascript">
    jQuery(document).ready(function () {
        var url = jQuery(location).attr('href');
        var pname = url.substr(url.lastIndexOf("/")+1, url.lastIndexOf(".")-url.lastIndexOf("/")-1);
        jQuery('#this_url').html('<strong>' + pname + '</strong>');
        jQuery('body').attr('id', pname);
    });
</script>
<body>
    <div id="shark_old">
        <div id="wrap">
            <div id="header">
                <div id="site-name"><a href="../../sphinx_pages/build/html/index.html">Shark machine learning library</a></div>
                <ul id="nav">
                    <li >
                        <a href="../../sphinx_pages/build/html/rest_sources/installation.html">Installation</a>
                    </li>
		    <li >
                        <a href="../../sphinx_pages/build/html/rest_sources/tutorials/tutorials.html">Tutorials</a>
                    </li>
		    <li >
                        <a href="../../sphinx_pages/build/html/rest_sources/benchmark.html">Benchmarks</a>
                    </li>
                    <li class="active">
                        <a href="classes.html">Documentation</a>
                        <ul>
                            <li class="first"></li>
                            <li><a href="../../sphinx_pages/build/html/rest_sources/quickref/quickref.html">Quick references</a></li>
                            <li><a href="classes.html">Class list</a></li>
                            <li class="last"><a href="group__shark__globals.html">Global functions</a></li>
                        </ul>
                    </li>
                </ul>
            </div>
        </div>
    </div>
<div id="doxywrapper">
<!--
    <div id="global_doxytitle">Doxygen<br>Documentation:</div>
-->
    <div id="navrow_wrapper">
<!-- Generated by Doxygen 1.9.8 -->
<div id="nav-path" class="navpath">
  <ul>
<li class="navelem"><a class="el" href="dir_d44c64559bbebec7f509842c48db8b23.html">include</a></li><li class="navelem"><a class="el" href="dir_9d0c4981f10d03078bcfd5c74fe41ce8.html">shark</a></li><li class="navelem"><a class="el" href="dir_f569da3e36425e04a12c3ea53ff3aba2.html">Data</a></li>  </ul>
</div>
</div><!-- top -->
<div class="header">
  <div class="headertitle"><div class="title">DataDistribution.h</div></div>
</div><!--header-->
<div class="contents">
<a href="_data_distribution_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">//===========================================================================</span><span class="comment"></span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">/*!</span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment"> * </span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment"> *</span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment"> * \brief       Learning problems given by analytic distributions.</span></div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="comment"> * </span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="comment"> * </span></div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="comment"> * </span></div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="comment"> *</span></div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="comment"> * \author      T. Glasmachers</span></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="comment"> * \date        2006-2013</span></div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="comment"> *</span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="comment"> *</span></div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="comment"> * \par Copyright 1995-2017 Shark Development Team</span></div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="comment"> * </span></div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="comment"> * &lt;BR&gt;&lt;HR&gt;</span></div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span><span class="comment"> * This file is part of Shark.</span></div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span><span class="comment"> * &lt;https://shark-ml.github.io/Shark/&gt;</span></div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span><span class="comment"> * </span></div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span><span class="comment"> * Shark is free software: you can redistribute it and/or modify</span></div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span><span class="comment"> * it under the terms of the GNU Lesser General Public License as published </span></div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="comment"> * by the Free Software Foundation, either version 3 of the License, or</span></div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span><span class="comment"> * (at your option) any later version.</span></div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="comment"> * </span></div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="comment"> * Shark is distributed in the hope that it will be useful,</span></div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="comment"> * but WITHOUT ANY WARRANTY; without even the implied warranty of</span></div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="comment"> * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</span></div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span><span class="comment"> * GNU Lesser General Public License for more details.</span></div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span><span class="comment"> * </span></div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span><span class="comment"> * You should have received a copy of the GNU Lesser General Public License</span></div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="comment"> * along with Shark.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</span></div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="comment"> *</span></div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="comment"> */</span></div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span><span class="comment">//===========================================================================</span></div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span> </div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span> </div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span><span class="preprocessor">#ifndef SHARK_DATA_DATADISTRIBUTION_H</span></div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span><span class="preprocessor">#define SHARK_DATA_DATADISTRIBUTION_H</span></div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span> </div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span><span class="preprocessor">#include &lt;<a class="code" href="_dataset_8h.html">shark/Data/Dataset.h</a>&gt;</span></div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span><span class="preprocessor">#include &lt;<a class="code" href="_random_8h.html">shark/Core/Random.h</a>&gt;</span></div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span><span class="preprocessor">#include &lt;<a class="code" href="_multi_variate_normal_distribution_8h.html">shark/Statistics/Distributions/MultiVariateNormalDistribution.h</a>&gt;</span></div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span><span class="preprocessor">#include &lt;utility&gt;</span></div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span> </div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a> {</div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span> </div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="comment"></span> </div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span><span class="comment">///</span></div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span><span class="comment">/// \brief A DataDistribution defines an unsupervised learning problem.</span></div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span><span class="comment">///</span></div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span><span class="comment">/// \par</span></div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span><span class="comment">/// The unsupervised learning problem is defined by an explicit</span></div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span><span class="comment">/// distribution (in contrast to a finite dataset). The only</span></div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span><span class="comment">/// method we need is to draw a sample from the distribution.</span></div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span><span class="comment">///</span></div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span><span class="comment"></span><span class="keyword">template</span> &lt;<span class="keyword">class</span> InputType&gt;</div>
<div class="foldopen" id="foldopen00057" data-start="{" data-end="};">
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno"><a class="line" href="classshark_1_1_data_distribution.html">   57</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_data_distribution.html" title="A DataDistribution defines an unsupervised learning problem.">DataDistribution</a></div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>{</div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span><span class="keyword">public</span>:<span class="comment"></span></div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span><span class="comment">    /// \brief Virtual destructor.</span></div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno"><a class="line" href="classshark_1_1_data_distribution.html#aa3f074650834a6551e8891eabedb396d">   61</a></span><span class="comment"></span>    <span class="keyword">virtual</span> <a class="code hl_function" href="classshark_1_1_data_distribution.html#aa3f074650834a6551e8891eabedb396d" title="Virtual destructor.">~DataDistribution</a>() { }</div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span><span class="comment"></span> </div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span><span class="comment">    /// \brief Generates a single pair of input and label.</span></div>
<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span><span class="comment">    /// @param input the generated input</span></div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno"><a class="line" href="classshark_1_1_data_distribution.html#a3358c43ba05299220ff8df6d5ea7bc75">   66</a></span><span class="comment"></span>    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_data_distribution.html#a3358c43ba05299220ff8df6d5ea7bc75" title="Generates a single pair of input and label.">draw</a>(<a class="code hl_struct" href="structshark_1_1_multi_task_sample.html" title="Aggregation of input data and task index.">InputType</a>&amp; input) <span class="keyword">const</span> = 0;</div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span> </div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>    <span class="comment">// \brief Interface for std::generate.</span></div>
<div class="foldopen" id="foldopen00069" data-start="{" data-end="}">
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno"><a class="line" href="classshark_1_1_data_distribution.html#a81288ff28bf77b08bfa7ae6e7dbb1c5d">   69</a></span>    <a class="code hl_struct" href="structshark_1_1_multi_task_sample.html" title="Aggregation of input data and task index.">InputType</a> <a class="code hl_function" href="classshark_1_1_data_distribution.html#a81288ff28bf77b08bfa7ae6e7dbb1c5d">operator() </a>() {</div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>        <a class="code hl_struct" href="structshark_1_1_multi_task_sample.html" title="Aggregation of input data and task index.">InputType</a> ret;</div>
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>        <a class="code hl_function" href="classshark_1_1_data_distribution.html#a3358c43ba05299220ff8df6d5ea7bc75" title="Generates a single pair of input and label.">draw</a>(ret);</div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>        <span class="keywordflow">return</span> ret;</div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>    }</div>
</div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>    <span class="comment"></span></div>
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span><span class="comment">    /// \brief Generates a data set with samples from from the distribution.</span></div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span><span class="comment">    /// @param size the number of samples in the dataset</span></div>
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span><span class="comment">    /// @param maximumBatchSize the maximum size of a batch</span></div>
<div class="foldopen" id="foldopen00079" data-start="{" data-end="}">
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno"><a class="line" href="classshark_1_1_data_distribution.html#a457baebeeff07baba0785aec80e7d188">   79</a></span><span class="comment"></span>    <a class="code hl_class" href="classshark_1_1_unlabeled_data.html" title="Data set for unsupervised learning.">UnlabeledData&lt;InputType&gt;</a> <a class="code hl_function" href="classshark_1_1_data_distribution.html#a457baebeeff07baba0785aec80e7d188" title="Generates a data set with samples from from the distribution.">generateDataset</a>(std::size_t size,std::size_t maximumBatchSize)<span class="keyword"> const </span>{</div>
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>        std::vector&lt;InputType&gt; data(size);</div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span> </div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>        <span class="comment">// draw the samples</span></div>
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>        <span class="keywordflow">for</span> (std::size_t i = 0; i &lt; size; ++i){</div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>            <a class="code hl_function" href="classshark_1_1_data_distribution.html#a3358c43ba05299220ff8df6d5ea7bc75" title="Generates a single pair of input and label.">draw</a>(data[i]);</div>
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>        }</div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>        <span class="comment">//create dataset</span></div>
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>        <span class="keywordflow">return</span> <a class="code hl_function" href="group__shark__globals.html#ga28f4e36576738062f68ba0ca3e0033be" title="creates a data object from a range of elements">createUnlabeledDataFromRange</a>(data,maximumBatchSize);</div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>    }</div>
</div>
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>    <span class="comment"></span></div>
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span><span class="comment">    /// \brief Generates a data set with samples from from the distribution.</span></div>
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span><span class="comment">    /// @param size the number of samples in the dataset</span></div>
<div class="foldopen" id="foldopen00093" data-start="{" data-end="}">
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno"><a class="line" href="classshark_1_1_data_distribution.html#aaaf36928f34de97b789be2dbd26947f9">   93</a></span><span class="comment"></span>    <a class="code hl_class" href="classshark_1_1_unlabeled_data.html" title="Data set for unsupervised learning.">UnlabeledData&lt;InputType&gt;</a> <a class="code hl_function" href="classshark_1_1_data_distribution.html#aaaf36928f34de97b789be2dbd26947f9" title="Generates a data set with samples from from the distribution.">generateDataset</a>(std::size_t size)<span class="keyword"> const </span>{</div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>        <span class="keywordflow">return</span> <a class="code hl_function" href="classshark_1_1_data_distribution.html#a457baebeeff07baba0785aec80e7d188" title="Generates a data set with samples from from the distribution.">generateDataset</a>(size,<a class="code hl_class" href="classshark_1_1_data.html" title="Data container.">Data&lt;InputType&gt;::DefaultBatchSize</a> );</div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>    }</div>
</div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>};</div>
</div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span> </div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span><span class="comment"></span> </div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span><span class="comment">///</span></div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span><span class="comment">/// \brief A LabeledDataDistribution defines a supervised learning problem.</span></div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span><span class="comment">///</span></div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span><span class="comment">/// \par</span></div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span><span class="comment">/// The supervised learning problem is defined by an explicit</span></div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span><span class="comment">/// distribution (in contrast to a finite dataset). The only</span></div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span><span class="comment">/// method we need is to draw a sample from the distribution.</span></div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span><span class="comment">///</span></div>
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span><span class="comment"></span><span class="keyword">template</span> &lt;<span class="keyword">class</span> InputType, <span class="keyword">class</span> LabelType&gt;</div>
<div class="foldopen" id="foldopen00108" data-start="{" data-end="};">
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno"><a class="line" href="classshark_1_1_labeled_data_distribution.html">  108</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_labeled_data_distribution.html" title="A LabeledDataDistribution defines a supervised learning problem.">LabeledDataDistribution</a></div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>{</div>
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span><span class="keyword">public</span>:<span class="comment"></span></div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span><span class="comment">    /// \brief Virtual destructor.</span></div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno"><a class="line" href="classshark_1_1_labeled_data_distribution.html#a179adab2dc89217d47fe1d0736679c46">  112</a></span><span class="comment"></span>    <span class="keyword">virtual</span> <a class="code hl_function" href="classshark_1_1_labeled_data_distribution.html#a179adab2dc89217d47fe1d0736679c46" title="Virtual destructor.">~LabeledDataDistribution</a>() { }</div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span><span class="comment"></span> </div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span><span class="comment">    /// \brief Generates a single pair of input and label.</span></div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span><span class="comment">    /// @param input the generated input</span></div>
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span><span class="comment">    /// @param label the generated label</span></div>
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno"><a class="line" href="classshark_1_1_labeled_data_distribution.html#ace4a2b81e54f0944d241b92a54f1a4c2">  117</a></span><span class="comment"></span>    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_labeled_data_distribution.html#ace4a2b81e54f0944d241b92a54f1a4c2" title="Generates a single pair of input and label.">draw</a>(<a class="code hl_struct" href="structshark_1_1_multi_task_sample.html" title="Aggregation of input data and task index.">InputType</a>&amp; input, LabelType&amp; label) <span class="keyword">const</span> = 0;</div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span> </div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>    <span class="comment">// \Brief Interface for std::generate.</span></div>
<div class="foldopen" id="foldopen00120" data-start="{" data-end="}">
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno"><a class="line" href="classshark_1_1_labeled_data_distribution.html#a198219fda4f514aa5bba30629e57dd8c">  120</a></span>    std::pair&lt;InputType,LabelType&gt; <a class="code hl_function" href="classshark_1_1_labeled_data_distribution.html#a198219fda4f514aa5bba30629e57dd8c">operator() </a>() {</div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>        std::pair&lt;InputType,LabelType&gt; ret;</div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>        <a class="code hl_function" href="classshark_1_1_labeled_data_distribution.html#ace4a2b81e54f0944d241b92a54f1a4c2" title="Generates a single pair of input and label.">draw</a>(ret.first,ret.second);</div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>        <span class="keywordflow">return</span> ret;</div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>    }</div>
</div>
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>    <span class="comment"></span></div>
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span><span class="comment">    /// \brief Generates a dataset with samples from from the distribution.</span></div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span><span class="comment">    /// @param size the number of samples in the dataset</span></div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span><span class="comment">    /// @param maximumBatchSize the maximum size of a batch</span></div>
<div class="foldopen" id="foldopen00130" data-start="{" data-end="}">
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno"><a class="line" href="classshark_1_1_labeled_data_distribution.html#ace15c1b51c87cd4b553427a55416b155">  130</a></span><span class="comment"></span>    <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;InputType, LabelType&gt;</a> <a class="code hl_function" href="classshark_1_1_labeled_data_distribution.html#ace15c1b51c87cd4b553427a55416b155" title="Generates a dataset with samples from from the distribution.">generateDataset</a>(std::size_t size,std::size_t maximumBatchSize)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>        std::vector&lt;InputType&gt; inputs(size);</div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>        std::vector&lt;LabelType&gt; labels(size);</div>
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span> </div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>        <span class="comment">// draw the samples</span></div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>        <span class="keywordflow">for</span> (std::size_t i = 0; i &lt; size; ++i){</div>
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>            <a class="code hl_function" href="classshark_1_1_labeled_data_distribution.html#ace4a2b81e54f0944d241b92a54f1a4c2" title="Generates a single pair of input and label.">draw</a>(inputs[i], labels[i]);</div>
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>        }</div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>        <span class="comment">//create dataset</span></div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>        <span class="keywordflow">return</span> <a class="code hl_function" href="group__shark__globals.html#ga409b50a287df842bd49e7434a8bbf69e" title="creates a labeled data object from two ranges, representing inputs and labels">createLabeledDataFromRange</a>(inputs,labels,maximumBatchSize);</div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>    }</div>
</div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>    <span class="comment"></span></div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span><span class="comment">    /// \brief Generates a data set with samples from from the distribution.</span></div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span><span class="comment">    /// @param size the number of samples in the dataset</span></div>
<div class="foldopen" id="foldopen00145" data-start="{" data-end="}">
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno"><a class="line" href="classshark_1_1_labeled_data_distribution.html#a812eed2420c425e7943e73503dcf1155">  145</a></span><span class="comment"></span>    <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;InputType, LabelType&gt;</a> <a class="code hl_function" href="classshark_1_1_labeled_data_distribution.html#a812eed2420c425e7943e73503dcf1155" title="Generates a data set with samples from from the distribution.">generateDataset</a>(std::size_t size)<span class="keyword"> const </span>{</div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>        <span class="keywordflow">return</span> <a class="code hl_function" href="classshark_1_1_labeled_data_distribution.html#ace15c1b51c87cd4b553427a55416b155" title="Generates a dataset with samples from from the distribution.">generateDataset</a>(size,<a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;InputType, LabelType&gt;::DefaultBatchSize</a> );</div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>    }</div>
</div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>};</div>
</div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span> </div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span><span class="comment"></span> </div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span><span class="comment">///</span></div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span><span class="comment">/// \brief &quot;chess board&quot; problem for binary classification</span></div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span><span class="comment">///</span></div>
<div class="foldopen" id="foldopen00154" data-start="{" data-end="};">
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno"><a class="line" href="classshark_1_1_chessboard.html">  154</a></span><span class="comment"></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_chessboard.html" title="&quot;chess board&quot; problem for binary classification">Chessboard</a> : <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_labeled_data_distribution.html" title="A LabeledDataDistribution defines a supervised learning problem.">LabeledDataDistribution</a>&lt;RealVector, unsigned int&gt;</div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>{</div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span><span class="keyword">public</span>:</div>
<div class="foldopen" id="foldopen00157" data-start="{" data-end="}">
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno"><a class="line" href="classshark_1_1_chessboard.html#ab98d4611c8a5c73da99449bd89711b36">  157</a></span>    <a class="code hl_function" href="classshark_1_1_chessboard.html#ab98d4611c8a5c73da99449bd89711b36">Chessboard</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> size = 4, <span class="keywordtype">double</span> noiselevel = 0.0)</div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span>    {</div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>        <a class="code hl_variable" href="classshark_1_1_chessboard.html#a3d01f428a1b2cb519a96e83df292e536">m_size</a> = size;</div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>        <a class="code hl_variable" href="classshark_1_1_chessboard.html#a2407204a81c6eadf657692344f352cb9">m_noiselevel</a> = noiselevel;</div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>    }</div>
</div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span> </div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span> </div>
<div class="foldopen" id="foldopen00164" data-start="{" data-end="}">
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno"><a class="line" href="classshark_1_1_chessboard.html#a6717822ad9bda839acd8aa21d46d2117">  164</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_chessboard.html#a6717822ad9bda839acd8aa21d46d2117" title="Generates a single pair of input and label.">draw</a>(RealVector&amp; input, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&amp; label)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>        input.resize(2);</div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>        <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j, t = 0;</div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>        <span class="keywordflow">for</span> (j = 0; j &lt; 2; j++)</div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span>        {</div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span>            <span class="keywordtype">double</span> v = <a class="code hl_function" href="namespaceshark_1_1random.html#a18f302ea18f70835c59935973ba8ea84" title="Draws a number uniformly in [lower,upper] by drawing random numbers from rng.">random::uni</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, 0.0, (<span class="keywordtype">double</span>)<a class="code hl_variable" href="classshark_1_1_chessboard.html#a3d01f428a1b2cb519a96e83df292e536">m_size</a>);</div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span>            t += (int)floor(v);</div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span>            input(j) = v;</div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span>        }</div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span>        label = (t &amp; 1);</div>
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span>        <span class="keywordflow">if</span> (<a class="code hl_function" href="namespaceshark_1_1random.html#a18f302ea18f70835c59935973ba8ea84" title="Draws a number uniformly in [lower,upper] by drawing random numbers from rng.">random::uni</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, 0.0, 1.0) &lt; <a class="code hl_variable" href="classshark_1_1_chessboard.html#a2407204a81c6eadf657692344f352cb9">m_noiselevel</a>) label = 1 - label;</div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span>    }</div>
</div>
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span> </div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span><span class="keyword">protected</span>:</div>
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno"><a class="line" href="classshark_1_1_chessboard.html#a3d01f428a1b2cb519a96e83df292e536">  178</a></span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code hl_variable" href="classshark_1_1_chessboard.html#a3d01f428a1b2cb519a96e83df292e536">m_size</a>;</div>
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno"><a class="line" href="classshark_1_1_chessboard.html#a2407204a81c6eadf657692344f352cb9">  179</a></span>    <span class="keywordtype">double</span> <a class="code hl_variable" href="classshark_1_1_chessboard.html#a2407204a81c6eadf657692344f352cb9">m_noiselevel</a>;</div>
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span>};</div>
</div>
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span> </div>
<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span><span class="comment"></span> </div>
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span><span class="comment">///</span></div>
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span><span class="comment">/// \brief Noisy sinc function: y = sin(x) / x + noise</span></div>
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span><span class="comment">///</span></div>
<div class="foldopen" id="foldopen00186" data-start="{" data-end="};">
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno"><a class="line" href="classshark_1_1_wave.html">  186</a></span><span class="comment"></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_wave.html" title="Noisy sinc function: y = sin(x) / x + noise.">Wave</a> : <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_labeled_data_distribution.html" title="A LabeledDataDistribution defines a supervised learning problem.">LabeledDataDistribution</a>&lt;RealVector, RealVector&gt;</div>
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span>{</div>
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span><span class="keyword">public</span>:</div>
<div class="foldopen" id="foldopen00189" data-start="{" data-end="}">
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno"><a class="line" href="classshark_1_1_wave.html#aeabdd6a76649d639de25593927428766">  189</a></span>    <a class="code hl_function" href="classshark_1_1_wave.html#aeabdd6a76649d639de25593927428766">Wave</a>(<span class="keywordtype">double</span> stddev = 0.1, <span class="keywordtype">double</span> range = 5.0){</div>
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span>        <a class="code hl_variable" href="classshark_1_1_wave.html#addec6db7f2ddef1812673177953ecece">m_stddev</a> = stddev;</div>
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span>        <a class="code hl_variable" href="classshark_1_1_wave.html#a5eb366d6d5cbbfda637601d92aa4d633">m_range</a> = range;</div>
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span>    }</div>
</div>
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span> </div>
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno">  194</span> </div>
<div class="foldopen" id="foldopen00195" data-start="{" data-end="}">
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno"><a class="line" href="classshark_1_1_wave.html#af7cfadb59070e2fb83ceaf464256dfb5">  195</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_wave.html#af7cfadb59070e2fb83ceaf464256dfb5" title="Generates a single pair of input and label.">draw</a>(RealVector&amp; input, RealVector&amp; label)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno">  196</span>        input.resize(1);</div>
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno">  197</span>        label.resize(1);</div>
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno">  198</span>        input(0) = <a class="code hl_function" href="namespaceshark_1_1random.html#a18f302ea18f70835c59935973ba8ea84" title="Draws a number uniformly in [lower,upper] by drawing random numbers from rng.">random::uni</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, -<a class="code hl_variable" href="classshark_1_1_wave.html#a5eb366d6d5cbbfda637601d92aa4d633">m_range</a>, <a class="code hl_variable" href="classshark_1_1_wave.html#a5eb366d6d5cbbfda637601d92aa4d633">m_range</a>);</div>
<div class="line"><a id="l00199" name="l00199"></a><span class="lineno">  199</span>        <span class="keywordflow">if</span>(input(0) != 0)</div>
<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span>            label(0) = sin(input(0)) / input(0) + <a class="code hl_function" href="namespaceshark_1_1random.html#a972c5f7f031612a130aa077fc9136a9f" title="Draws a number from the normal distribution with given mean and variance by drawing random numbers fr...">random::gauss</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, 0.0, <a class="code hl_variable" href="classshark_1_1_wave.html#addec6db7f2ddef1812673177953ecece">m_stddev</a>);</div>
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno">  201</span>        <span class="keywordflow">else</span></div>
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno">  202</span>            label(0) = <a class="code hl_function" href="namespaceshark_1_1random.html#a972c5f7f031612a130aa077fc9136a9f" title="Draws a number from the normal distribution with given mean and variance by drawing random numbers fr...">random::gauss</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, 0.0, <a class="code hl_variable" href="classshark_1_1_wave.html#addec6db7f2ddef1812673177953ecece">m_stddev</a>);</div>
<div class="line"><a id="l00203" name="l00203"></a><span class="lineno">  203</span>    }</div>
</div>
<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span> </div>
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno">  205</span><span class="keyword">protected</span>:</div>
<div class="line"><a id="l00206" name="l00206"></a><span class="lineno"><a class="line" href="classshark_1_1_wave.html#addec6db7f2ddef1812673177953ecece">  206</a></span>    <span class="keywordtype">double</span> <a class="code hl_variable" href="classshark_1_1_wave.html#addec6db7f2ddef1812673177953ecece">m_stddev</a>;</div>
<div class="line"><a id="l00207" name="l00207"></a><span class="lineno"><a class="line" href="classshark_1_1_wave.html#a5eb366d6d5cbbfda637601d92aa4d633">  207</a></span>    <span class="keywordtype">double</span> <a class="code hl_variable" href="classshark_1_1_wave.html#a5eb366d6d5cbbfda637601d92aa4d633">m_range</a>;</div>
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno">  208</span>};</div>
</div>
<div class="line"><a id="l00209" name="l00209"></a><span class="lineno">  209</span> </div>
<div class="line"><a id="l00210" name="l00210"></a><span class="lineno">  210</span> </div>
<div class="line"><a id="l00211" name="l00211"></a><span class="lineno">  211</span><span class="comment"></span> </div>
<div class="line"><a id="l00212" name="l00212"></a><span class="lineno">  212</span><span class="comment">/// &quot;Pami Toy&quot; problem for binary classification, as used in the article &quot;Glasmachers</span></div>
<div class="line"><a id="l00213" name="l00213"></a><span class="lineno">  213</span><span class="comment">/// and C. Igel. Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple </span></div>
<div class="line"><a id="l00214" name="l00214"></a><span class="lineno">  214</span><span class="comment">/// Parameters. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010.&quot;</span></div>
<div class="line"><a id="l00215" name="l00215"></a><span class="lineno">  215</span><span class="comment">/// In summary, the first M dimensions are correlated to the labels, the last N dimensions</span></div>
<div class="line"><a id="l00216" name="l00216"></a><span class="lineno">  216</span><span class="comment">/// are not. </span></div>
<div class="foldopen" id="foldopen00217" data-start="{" data-end="};">
<div class="line"><a id="l00217" name="l00217"></a><span class="lineno"><a class="line" href="classshark_1_1_pami_toy.html">  217</a></span><span class="comment"></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_pami_toy.html">PamiToy</a> : <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_labeled_data_distribution.html" title="A LabeledDataDistribution defines a supervised learning problem.">LabeledDataDistribution</a>&lt;RealVector, unsigned int&gt;</div>
<div class="line"><a id="l00218" name="l00218"></a><span class="lineno">  218</span>{</div>
<div class="line"><a id="l00219" name="l00219"></a><span class="lineno">  219</span><span class="keyword">public</span>:</div>
<div class="foldopen" id="foldopen00220" data-start="{" data-end="}">
<div class="line"><a id="l00220" name="l00220"></a><span class="lineno"><a class="line" href="classshark_1_1_pami_toy.html#a77a00e9bdae220f5b1054564835b7cf0">  220</a></span>    <a class="code hl_function" href="classshark_1_1_pami_toy.html#a77a00e9bdae220f5b1054564835b7cf0">PamiToy</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> size_useful = 5, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> size_noise = 5, <span class="keywordtype">double</span> noise_position = 0.0, <span class="keywordtype">double</span> noise_variance = 1.0 )</div>
<div class="line"><a id="l00221" name="l00221"></a><span class="lineno">  221</span>    : <a class="code hl_variable" href="classshark_1_1_pami_toy.html#a128a177bba9c3d7c8740734566ce2b4c">m_size</a>( size_useful+size_noise ),</div>
<div class="line"><a id="l00222" name="l00222"></a><span class="lineno">  222</span>      <a class="code hl_variable" href="classshark_1_1_pami_toy.html#a26f24fc417342256f19c04ddefd99243">m_sizeUseful</a>( size_useful ),</div>
<div class="line"><a id="l00223" name="l00223"></a><span class="lineno">  223</span>      <a class="code hl_variable" href="classshark_1_1_pami_toy.html#a57a26d670c6e8a07b523578d3b3702a9">m_sizeNoise</a>( size_noise ),</div>
<div class="line"><a id="l00224" name="l00224"></a><span class="lineno">  224</span>      <a class="code hl_variable" href="classshark_1_1_pami_toy.html#a84333c396fe766ff07cd3dc4bac92b9c">m_noisePos</a>( noise_position) ,</div>
<div class="line"><a id="l00225" name="l00225"></a><span class="lineno">  225</span>      <a class="code hl_variable" href="classshark_1_1_pami_toy.html#a95a789beda041b7d439a501bee325947">m_noiseVar</a>( noise_variance )</div>
<div class="line"><a id="l00226" name="l00226"></a><span class="lineno">  226</span>    { }</div>
</div>
<div class="line"><a id="l00227" name="l00227"></a><span class="lineno">  227</span> </div>
<div class="foldopen" id="foldopen00228" data-start="{" data-end="}">
<div class="line"><a id="l00228" name="l00228"></a><span class="lineno"><a class="line" href="classshark_1_1_pami_toy.html#a7b2eaab3d024a8731d184f3ed5f38949">  228</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_pami_toy.html#a7b2eaab3d024a8731d184f3ed5f38949" title="Generates a single pair of input and label.">draw</a>(RealVector&amp; input, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&amp; label)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00229" name="l00229"></a><span class="lineno">  229</span>        input.resize( <a class="code hl_variable" href="classshark_1_1_pami_toy.html#a128a177bba9c3d7c8740734566ce2b4c">m_size</a> );</div>
<div class="line"><a id="l00230" name="l00230"></a><span class="lineno">  230</span>        label =  (<span class="keywordtype">unsigned</span> int) <a class="code hl_function" href="namespaceshark_1_1random.html#aa64d4174eaf7111b03e0504eaa56b666" title="Draws a discrete number in {low,low+1,...,high} by drawing random numbers from rng.">random::discrete</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, 0,1); <span class="comment">//fix label first</span></div>
<div class="line"><a id="l00231" name="l00231"></a><span class="lineno">  231</span>        <span class="keywordtype">double</span> y2 = label - 0.5; <span class="comment">//&quot;clean&quot; informative feature values</span></div>
<div class="line"><a id="l00232" name="l00232"></a><span class="lineno">  232</span>        <span class="comment">// now fill the informative features..</span></div>
<div class="line"><a id="l00233" name="l00233"></a><span class="lineno">  233</span>        <span class="keywordflow">for</span> ( <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i&lt;<a class="code hl_variable" href="classshark_1_1_pami_toy.html#a26f24fc417342256f19c04ddefd99243">m_sizeUseful</a>; i++ ) {</div>
<div class="line"><a id="l00234" name="l00234"></a><span class="lineno">  234</span>            input(i) = y2 + <a class="code hl_function" href="namespaceshark_1_1random.html#a972c5f7f031612a130aa077fc9136a9f" title="Draws a number from the normal distribution with given mean and variance by drawing random numbers fr...">random::gauss</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, <a class="code hl_variable" href="classshark_1_1_pami_toy.html#a84333c396fe766ff07cd3dc4bac92b9c">m_noisePos</a>, <a class="code hl_variable" href="classshark_1_1_pami_toy.html#a95a789beda041b7d439a501bee325947">m_noiseVar</a> );</div>
<div class="line"><a id="l00235" name="l00235"></a><span class="lineno">  235</span>        }</div>
<div class="line"><a id="l00236" name="l00236"></a><span class="lineno">  236</span>        <span class="comment">// ..and the uninformative ones</span></div>
<div class="line"><a id="l00237" name="l00237"></a><span class="lineno">  237</span>        <span class="keywordflow">for</span> ( <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=<a class="code hl_variable" href="classshark_1_1_pami_toy.html#a26f24fc417342256f19c04ddefd99243">m_sizeUseful</a>; i&lt;<a class="code hl_variable" href="classshark_1_1_pami_toy.html#a128a177bba9c3d7c8740734566ce2b4c">m_size</a>; i++ ) {</div>
<div class="line"><a id="l00238" name="l00238"></a><span class="lineno">  238</span>            input(i) = <a class="code hl_function" href="namespaceshark_1_1random.html#a972c5f7f031612a130aa077fc9136a9f" title="Draws a number from the normal distribution with given mean and variance by drawing random numbers fr...">random::gauss</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, <a class="code hl_variable" href="classshark_1_1_pami_toy.html#a84333c396fe766ff07cd3dc4bac92b9c">m_noisePos</a>, <a class="code hl_variable" href="classshark_1_1_pami_toy.html#a95a789beda041b7d439a501bee325947">m_noiseVar</a> );</div>
<div class="line"><a id="l00239" name="l00239"></a><span class="lineno">  239</span>        }</div>
<div class="line"><a id="l00240" name="l00240"></a><span class="lineno">  240</span>    }</div>
</div>
<div class="line"><a id="l00241" name="l00241"></a><span class="lineno">  241</span> </div>
<div class="line"><a id="l00242" name="l00242"></a><span class="lineno">  242</span><span class="keyword">protected</span>:</div>
<div class="line"><a id="l00243" name="l00243"></a><span class="lineno"><a class="line" href="classshark_1_1_pami_toy.html#a128a177bba9c3d7c8740734566ce2b4c">  243</a></span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code hl_variable" href="classshark_1_1_pami_toy.html#a128a177bba9c3d7c8740734566ce2b4c">m_size</a>;</div>
<div class="line"><a id="l00244" name="l00244"></a><span class="lineno"><a class="line" href="classshark_1_1_pami_toy.html#a26f24fc417342256f19c04ddefd99243">  244</a></span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code hl_variable" href="classshark_1_1_pami_toy.html#a26f24fc417342256f19c04ddefd99243">m_sizeUseful</a>;</div>
<div class="line"><a id="l00245" name="l00245"></a><span class="lineno"><a class="line" href="classshark_1_1_pami_toy.html#a57a26d670c6e8a07b523578d3b3702a9">  245</a></span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code hl_variable" href="classshark_1_1_pami_toy.html#a57a26d670c6e8a07b523578d3b3702a9">m_sizeNoise</a>;</div>
<div class="line"><a id="l00246" name="l00246"></a><span class="lineno"><a class="line" href="classshark_1_1_pami_toy.html#a84333c396fe766ff07cd3dc4bac92b9c">  246</a></span>    <span class="keywordtype">double</span> <a class="code hl_variable" href="classshark_1_1_pami_toy.html#a84333c396fe766ff07cd3dc4bac92b9c">m_noisePos</a>;</div>
<div class="line"><a id="l00247" name="l00247"></a><span class="lineno"><a class="line" href="classshark_1_1_pami_toy.html#a95a789beda041b7d439a501bee325947">  247</a></span>    <span class="keywordtype">double</span> <a class="code hl_variable" href="classshark_1_1_pami_toy.html#a95a789beda041b7d439a501bee325947">m_noiseVar</a>;</div>
<div class="line"><a id="l00248" name="l00248"></a><span class="lineno">  248</span>};</div>
</div>
<div class="line"><a id="l00249" name="l00249"></a><span class="lineno">  249</span><span class="comment"></span> </div>
<div class="line"><a id="l00250" name="l00250"></a><span class="lineno">  250</span><span class="comment">/// This class randomly fills a (hyper-)square with data points. Points which </span></div>
<div class="line"><a id="l00251" name="l00251"></a><span class="lineno">  251</span><span class="comment">/// happen to be within a (hyper-)circle centered in the square of a certain</span></div>
<div class="line"><a id="l00252" name="l00252"></a><span class="lineno">  252</span><span class="comment">/// radius get a positive class label. Noise on the labels can be added.</span></div>
<div class="foldopen" id="foldopen00253" data-start="{" data-end="};">
<div class="line"><a id="l00253" name="l00253"></a><span class="lineno"><a class="line" href="classshark_1_1_circle_in_square.html">  253</a></span><span class="comment"></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_circle_in_square.html">CircleInSquare</a> : <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_labeled_data_distribution.html" title="A LabeledDataDistribution defines a supervised learning problem.">LabeledDataDistribution</a>&lt;RealVector, unsigned int&gt;</div>
<div class="line"><a id="l00254" name="l00254"></a><span class="lineno">  254</span>{</div>
<div class="line"><a id="l00255" name="l00255"></a><span class="lineno">  255</span><span class="keyword">public</span>:</div>
<div class="foldopen" id="foldopen00256" data-start="{" data-end="}">
<div class="line"><a id="l00256" name="l00256"></a><span class="lineno"><a class="line" href="classshark_1_1_circle_in_square.html#a75c2e5aa442b209a3658ef8cb0389508">  256</a></span>    <a class="code hl_function" href="classshark_1_1_circle_in_square.html#a75c2e5aa442b209a3658ef8cb0389508">CircleInSquare</a>( <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimensions = 2, <span class="keywordtype">double</span> noiselevel = 0.0, <span class="keywordtype">bool</span> class_prob_equal = <span class="keyword">false</span> )</div>
<div class="line"><a id="l00257" name="l00257"></a><span class="lineno">  257</span>    : <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#add4c679abb7b33b1511a15c9a84035f1">m_dimensions</a>( dimensions ),</div>
<div class="line"><a id="l00258" name="l00258"></a><span class="lineno">  258</span>      <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a5427e914bbf910a690a7b63017f8a050">m_noiselevel</a>( noiselevel ),</div>
<div class="line"><a id="l00259" name="l00259"></a><span class="lineno">  259</span>      <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a22f15e5fbeb22333bba7df99e116a1b9">m_lowerLimit</a>( -1 ),</div>
<div class="line"><a id="l00260" name="l00260"></a><span class="lineno">  260</span>      <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a91ae8e519fbef45186215cc467c6fc11">m_upperLimit</a>( 1 ),</div>
<div class="line"><a id="l00261" name="l00261"></a><span class="lineno">  261</span>      <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a7ccd6eb3208e3ec0f0dc6208dd3b34a2">m_centerpoint</a>( 0 ),</div>
<div class="line"><a id="l00262" name="l00262"></a><span class="lineno">  262</span>      <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a56e17b654828286f63e06e8e6b6d3296">m_inner_radius2</a>( 0.5*0.5 ),</div>
<div class="line"><a id="l00263" name="l00263"></a><span class="lineno">  263</span>      <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a9e6f9e01e9e8e8ebb9fc684e7bdcde24">m_outer_radius2</a>( 0.5*0.5 ),</div>
<div class="line"><a id="l00264" name="l00264"></a><span class="lineno">  264</span>      <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#abbf7bf1bbdc3cadf5d98058553e9ce2e" title="if true, the probability to belong to either class is equal. if false, it is uniform over the cube.">m_equal_class_prob</a>( class_prob_equal )</div>
<div class="line"><a id="l00265" name="l00265"></a><span class="lineno">  265</span>    { }</div>
</div>
<div class="line"><a id="l00266" name="l00266"></a><span class="lineno">  266</span>    <span class="comment"></span></div>
<div class="line"><a id="l00267" name="l00267"></a><span class="lineno">  267</span><span class="comment">    /// allow for arbitrary box limits</span></div>
<div class="foldopen" id="foldopen00268" data-start="{" data-end="}">
<div class="line"><a id="l00268" name="l00268"></a><span class="lineno"><a class="line" href="classshark_1_1_circle_in_square.html#abad338aadd74f9d0e7eeb6788c598c8d">  268</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_circle_in_square.html#abad338aadd74f9d0e7eeb6788c598c8d" title="allow for arbitrary box limits">setLimits</a>( <span class="keywordtype">double</span> lower_limit, <span class="keywordtype">double</span> upper_limit, <span class="keywordtype">double</span> inner_radius, <span class="keywordtype">double</span> outer_radius )</div>
<div class="line"><a id="l00269" name="l00269"></a><span class="lineno">  269</span>    {</div>
<div class="line"><a id="l00270" name="l00270"></a><span class="lineno">  270</span>        <a class="code hl_define" href="_exception_8h.html#abd848215f138fc44f696aecb3e417e6c">RANGE_CHECK</a>( lower_limit &lt; upper_limit );</div>
<div class="line"><a id="l00271" name="l00271"></a><span class="lineno">  271</span>        <a class="code hl_define" href="_exception_8h.html#abd848215f138fc44f696aecb3e417e6c">RANGE_CHECK</a>( inner_radius &lt;= outer_radius );</div>
<div class="line"><a id="l00272" name="l00272"></a><span class="lineno">  272</span>        <a class="code hl_define" href="_exception_8h.html#abd848215f138fc44f696aecb3e417e6c">RANGE_CHECK</a>( 2*outer_radius &lt;= upper_limit-lower_limit );</div>
<div class="line"><a id="l00273" name="l00273"></a><span class="lineno">  273</span>        <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a22f15e5fbeb22333bba7df99e116a1b9">m_lowerLimit</a> = lower_limit;</div>
<div class="line"><a id="l00274" name="l00274"></a><span class="lineno">  274</span>        <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a91ae8e519fbef45186215cc467c6fc11">m_upperLimit</a> = upper_limit;</div>
<div class="line"><a id="l00275" name="l00275"></a><span class="lineno">  275</span>        <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a7ccd6eb3208e3ec0f0dc6208dd3b34a2">m_centerpoint</a> = (upper_limit-lower_limit)/2.0;</div>
<div class="line"><a id="l00276" name="l00276"></a><span class="lineno">  276</span>        <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a56e17b654828286f63e06e8e6b6d3296">m_inner_radius2</a> = inner_radius*inner_radius;</div>
<div class="line"><a id="l00277" name="l00277"></a><span class="lineno">  277</span>        <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a9e6f9e01e9e8e8ebb9fc684e7bdcde24">m_outer_radius2</a> = outer_radius*outer_radius;</div>
<div class="line"><a id="l00278" name="l00278"></a><span class="lineno">  278</span>    }</div>
</div>
<div class="line"><a id="l00279" name="l00279"></a><span class="lineno">  279</span>    </div>
<div class="foldopen" id="foldopen00280" data-start="{" data-end="}">
<div class="line"><a id="l00280" name="l00280"></a><span class="lineno"><a class="line" href="classshark_1_1_circle_in_square.html#a69f09fa2492f510a2fd07f2020004eeb">  280</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_circle_in_square.html#a69f09fa2492f510a2fd07f2020004eeb" title="Generates a single pair of input and label.">draw</a>(RealVector&amp; input, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&amp; label)<span class="keyword">const</span></div>
<div class="line"><a id="l00281" name="l00281"></a><span class="lineno">  281</span><span class="keyword">    </span>{</div>
<div class="line"><a id="l00282" name="l00282"></a><span class="lineno">  282</span>        input.resize( <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#add4c679abb7b33b1511a15c9a84035f1">m_dimensions</a> );</div>
<div class="line"><a id="l00283" name="l00283"></a><span class="lineno">  283</span>        <span class="keywordtype">double</span> v, dist;</div>
<div class="line"><a id="l00284" name="l00284"></a><span class="lineno">  284</span>        </div>
<div class="line"><a id="l00285" name="l00285"></a><span class="lineno">  285</span>        <span class="keywordflow">if</span> ( <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#abbf7bf1bbdc3cadf5d98058553e9ce2e" title="if true, the probability to belong to either class is equal. if false, it is uniform over the cube.">m_equal_class_prob</a> ) { <span class="comment">//each class has equal probability - this implementation is brute-force and gorgeously inefficient :/</span></div>
<div class="line"><a id="l00286" name="l00286"></a><span class="lineno">  286</span>            <span class="keywordtype">bool</span> this_label = <a class="code hl_function" href="namespaceshark_1_1random.html#ada5e9e6fd77534e1d99479213e5fed50" title="Flips a coin with probability of heads being pHeads by drawing random numbers from rng.">random::coinToss</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>);</div>
<div class="line"><a id="l00287" name="l00287"></a><span class="lineno">  287</span>            label = ( this_label ? 1 : 0 );</div>
<div class="line"><a id="l00288" name="l00288"></a><span class="lineno">  288</span>            <span class="keywordflow">if</span> ( <a class="code hl_function" href="namespaceshark_1_1random.html#a18f302ea18f70835c59935973ba8ea84" title="Draws a number uniformly in [lower,upper] by drawing random numbers from rng.">random::uni</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, 0.0, 1.0) &lt; <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a5427e914bbf910a690a7b63017f8a050">m_noiselevel</a> )</div>
<div class="line"><a id="l00289" name="l00289"></a><span class="lineno">  289</span>                label = 1 - label;</div>
<div class="line"><a id="l00290" name="l00290"></a><span class="lineno">  290</span>            <span class="keywordflow">if</span> ( this_label ) {</div>
<div class="line"><a id="l00291" name="l00291"></a><span class="lineno">  291</span>                <span class="keywordflow">do</span> {</div>
<div class="line"><a id="l00292" name="l00292"></a><span class="lineno">  292</span>                    dist = 0.0;</div>
<div class="line"><a id="l00293" name="l00293"></a><span class="lineno">  293</span>                    <span class="keywordflow">for</span> ( <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i&lt;<a class="code hl_variable" href="classshark_1_1_circle_in_square.html#add4c679abb7b33b1511a15c9a84035f1">m_dimensions</a>; i++ ) {</div>
<div class="line"><a id="l00294" name="l00294"></a><span class="lineno">  294</span>                        v = <a class="code hl_function" href="namespaceshark_1_1random.html#a18f302ea18f70835c59935973ba8ea84" title="Draws a number uniformly in [lower,upper] by drawing random numbers from rng.">random::uni</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a22f15e5fbeb22333bba7df99e116a1b9">m_lowerLimit</a>, <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a91ae8e519fbef45186215cc467c6fc11">m_upperLimit</a> );</div>
<div class="line"><a id="l00295" name="l00295"></a><span class="lineno">  295</span>                        input(i) = v;</div>
<div class="line"><a id="l00296" name="l00296"></a><span class="lineno">  296</span>                        dist += (v-<a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a7ccd6eb3208e3ec0f0dc6208dd3b34a2">m_centerpoint</a>)*(v-<a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a7ccd6eb3208e3ec0f0dc6208dd3b34a2">m_centerpoint</a>);</div>
<div class="line"><a id="l00297" name="l00297"></a><span class="lineno">  297</span>                    }</div>
<div class="line"><a id="l00298" name="l00298"></a><span class="lineno">  298</span>                } <span class="keywordflow">while</span>( dist &gt; <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a56e17b654828286f63e06e8e6b6d3296">m_inner_radius2</a> );</div>
<div class="line"><a id="l00299" name="l00299"></a><span class="lineno">  299</span>            }</div>
<div class="line"><a id="l00300" name="l00300"></a><span class="lineno">  300</span>            <span class="keywordflow">else</span> {</div>
<div class="line"><a id="l00301" name="l00301"></a><span class="lineno">  301</span>                <span class="keywordflow">do</span> {</div>
<div class="line"><a id="l00302" name="l00302"></a><span class="lineno">  302</span>                    dist = 0.0;</div>
<div class="line"><a id="l00303" name="l00303"></a><span class="lineno">  303</span>                    <span class="keywordflow">for</span> ( <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i&lt;<a class="code hl_variable" href="classshark_1_1_circle_in_square.html#add4c679abb7b33b1511a15c9a84035f1">m_dimensions</a>; i++ ) {</div>
<div class="line"><a id="l00304" name="l00304"></a><span class="lineno">  304</span>                        v = <a class="code hl_function" href="namespaceshark_1_1random.html#a18f302ea18f70835c59935973ba8ea84" title="Draws a number uniformly in [lower,upper] by drawing random numbers from rng.">random::uni</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a22f15e5fbeb22333bba7df99e116a1b9">m_lowerLimit</a>, <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a91ae8e519fbef45186215cc467c6fc11">m_upperLimit</a> );</div>
<div class="line"><a id="l00305" name="l00305"></a><span class="lineno">  305</span>                        input(i) = v;</div>
<div class="line"><a id="l00306" name="l00306"></a><span class="lineno">  306</span>                        dist += (v-<a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a7ccd6eb3208e3ec0f0dc6208dd3b34a2">m_centerpoint</a>)*(v-<a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a7ccd6eb3208e3ec0f0dc6208dd3b34a2">m_centerpoint</a>);</div>
<div class="line"><a id="l00307" name="l00307"></a><span class="lineno">  307</span>                    }</div>
<div class="line"><a id="l00308" name="l00308"></a><span class="lineno">  308</span>                } <span class="keywordflow">while</span>( dist &lt; <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a9e6f9e01e9e8e8ebb9fc684e7bdcde24">m_outer_radius2</a> );</div>
<div class="line"><a id="l00309" name="l00309"></a><span class="lineno">  309</span>            }</div>
<div class="line"><a id="l00310" name="l00310"></a><span class="lineno">  310</span>        }</div>
<div class="line"><a id="l00311" name="l00311"></a><span class="lineno">  311</span>        <span class="keywordflow">else</span> { <span class="comment">//equal probability to be anywhere in the cube</span></div>
<div class="line"><a id="l00312" name="l00312"></a><span class="lineno">  312</span>            <span class="keywordflow">do</span> {</div>
<div class="line"><a id="l00313" name="l00313"></a><span class="lineno">  313</span>                dist = 0.0;</div>
<div class="line"><a id="l00314" name="l00314"></a><span class="lineno">  314</span>                <span class="keywordflow">for</span> ( <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i&lt;<a class="code hl_variable" href="classshark_1_1_circle_in_square.html#add4c679abb7b33b1511a15c9a84035f1">m_dimensions</a>; i++ ) {</div>
<div class="line"><a id="l00315" name="l00315"></a><span class="lineno">  315</span>                    v = <a class="code hl_function" href="namespaceshark_1_1random.html#a18f302ea18f70835c59935973ba8ea84" title="Draws a number uniformly in [lower,upper] by drawing random numbers from rng.">random::uni</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a22f15e5fbeb22333bba7df99e116a1b9">m_lowerLimit</a>, <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a91ae8e519fbef45186215cc467c6fc11">m_upperLimit</a> );</div>
<div class="line"><a id="l00316" name="l00316"></a><span class="lineno">  316</span>                    input(i) = v;</div>
<div class="line"><a id="l00317" name="l00317"></a><span class="lineno">  317</span>                    dist += (v-<a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a7ccd6eb3208e3ec0f0dc6208dd3b34a2">m_centerpoint</a>)*(v-<a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a7ccd6eb3208e3ec0f0dc6208dd3b34a2">m_centerpoint</a>);</div>
<div class="line"><a id="l00318" name="l00318"></a><span class="lineno">  318</span>                }</div>
<div class="line"><a id="l00319" name="l00319"></a><span class="lineno">  319</span>                label = ( dist &lt; <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a56e17b654828286f63e06e8e6b6d3296">m_inner_radius2</a> ? 1 : 0 );</div>
<div class="line"><a id="l00320" name="l00320"></a><span class="lineno">  320</span>                <span class="keywordflow">if</span> ( <a class="code hl_function" href="namespaceshark_1_1random.html#a18f302ea18f70835c59935973ba8ea84" title="Draws a number uniformly in [lower,upper] by drawing random numbers from rng.">random::uni</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, 0.0, 1.0) &lt; <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a5427e914bbf910a690a7b63017f8a050">m_noiselevel</a> )</div>
<div class="line"><a id="l00321" name="l00321"></a><span class="lineno">  321</span>                    label = 1 - label;</div>
<div class="line"><a id="l00322" name="l00322"></a><span class="lineno">  322</span>            } <span class="keywordflow">while</span>( dist &gt; <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a56e17b654828286f63e06e8e6b6d3296">m_inner_radius2</a> &amp;&amp; dist &lt; <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a9e6f9e01e9e8e8ebb9fc684e7bdcde24">m_outer_radius2</a> );</div>
<div class="line"><a id="l00323" name="l00323"></a><span class="lineno">  323</span>        }</div>
<div class="line"><a id="l00324" name="l00324"></a><span class="lineno">  324</span>    }</div>
</div>
<div class="line"><a id="l00325" name="l00325"></a><span class="lineno">  325</span> </div>
<div class="line"><a id="l00326" name="l00326"></a><span class="lineno">  326</span><span class="keyword">protected</span>:</div>
<div class="line"><a id="l00327" name="l00327"></a><span class="lineno"><a class="line" href="classshark_1_1_circle_in_square.html#add4c679abb7b33b1511a15c9a84035f1">  327</a></span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#add4c679abb7b33b1511a15c9a84035f1">m_dimensions</a>;</div>
<div class="line"><a id="l00328" name="l00328"></a><span class="lineno"><a class="line" href="classshark_1_1_circle_in_square.html#a5427e914bbf910a690a7b63017f8a050">  328</a></span>    <span class="keywordtype">double</span> <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a5427e914bbf910a690a7b63017f8a050">m_noiselevel</a>;</div>
<div class="line"><a id="l00329" name="l00329"></a><span class="lineno"><a class="line" href="classshark_1_1_circle_in_square.html#a22f15e5fbeb22333bba7df99e116a1b9">  329</a></span>    <span class="keywordtype">double</span> <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a22f15e5fbeb22333bba7df99e116a1b9">m_lowerLimit</a>;</div>
<div class="line"><a id="l00330" name="l00330"></a><span class="lineno"><a class="line" href="classshark_1_1_circle_in_square.html#a91ae8e519fbef45186215cc467c6fc11">  330</a></span>    <span class="keywordtype">double</span> <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a91ae8e519fbef45186215cc467c6fc11">m_upperLimit</a>;</div>
<div class="line"><a id="l00331" name="l00331"></a><span class="lineno"><a class="line" href="classshark_1_1_circle_in_square.html#a7ccd6eb3208e3ec0f0dc6208dd3b34a2">  331</a></span>    <span class="keywordtype">double</span> <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a7ccd6eb3208e3ec0f0dc6208dd3b34a2">m_centerpoint</a>;</div>
<div class="line"><a id="l00332" name="l00332"></a><span class="lineno"><a class="line" href="classshark_1_1_circle_in_square.html#a56e17b654828286f63e06e8e6b6d3296">  332</a></span>    <span class="keywordtype">double</span> <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a56e17b654828286f63e06e8e6b6d3296">m_inner_radius2</a>;</div>
<div class="line"><a id="l00333" name="l00333"></a><span class="lineno"><a class="line" href="classshark_1_1_circle_in_square.html#a9e6f9e01e9e8e8ebb9fc684e7bdcde24">  333</a></span>    <span class="keywordtype">double</span> <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#a9e6f9e01e9e8e8ebb9fc684e7bdcde24">m_outer_radius2</a>;</div>
<div class="line"><a id="l00334" name="l00334"></a><span class="lineno"><a class="line" href="classshark_1_1_circle_in_square.html#abbf7bf1bbdc3cadf5d98058553e9ce2e">  334</a></span>    <span class="keywordtype">bool</span> <a class="code hl_variable" href="classshark_1_1_circle_in_square.html#abbf7bf1bbdc3cadf5d98058553e9ce2e" title="if true, the probability to belong to either class is equal. if false, it is uniform over the cube.">m_equal_class_prob</a>; <span class="comment">///&lt;if true, the probability to belong to either class is equal. if false, it is uniform over the cube.</span></div>
<div class="line"><a id="l00335" name="l00335"></a><span class="lineno">  335</span>};</div>
</div>
<div class="line"><a id="l00336" name="l00336"></a><span class="lineno">  336</span> </div>
<div class="line"><a id="l00337" name="l00337"></a><span class="lineno">  337</span><span class="comment">// This class randomly fills a 4x4 square in the 2D-plane with data points. </span></div>
<div class="line"><a id="l00338" name="l00338"></a><span class="lineno">  338</span><span class="comment">// Points in the lower left diagonal half are negative, points in the</span></div>
<div class="line"><a id="l00339" name="l00339"></a><span class="lineno">  339</span><span class="comment">// upper right diagonal half are positive. But additionally, all points</span></div>
<div class="line"><a id="l00340" name="l00340"></a><span class="lineno">  340</span><span class="comment">// in a circle located in the lower right quadrant are positive, effectively</span></div>
<div class="line"><a id="l00341" name="l00341"></a><span class="lineno">  341</span><span class="comment">// bulging the decision boundary inward. Noise on the labels can be added.</span></div>
<div class="foldopen" id="foldopen00342" data-start="{" data-end="};">
<div class="line"><a id="l00342" name="l00342"></a><span class="lineno"><a class="line" href="classshark_1_1_diagonal_with_circle.html">  342</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_diagonal_with_circle.html">DiagonalWithCircle</a> : <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_labeled_data_distribution.html" title="A LabeledDataDistribution defines a supervised learning problem.">LabeledDataDistribution</a>&lt;RealVector, unsigned int&gt;</div>
<div class="line"><a id="l00343" name="l00343"></a><span class="lineno">  343</span>{</div>
<div class="line"><a id="l00344" name="l00344"></a><span class="lineno">  344</span><span class="keyword">public</span>:</div>
<div class="foldopen" id="foldopen00345" data-start="{" data-end="}">
<div class="line"><a id="l00345" name="l00345"></a><span class="lineno"><a class="line" href="classshark_1_1_diagonal_with_circle.html#a5807a14d10927aed3be29c74601a842b">  345</a></span>    <a class="code hl_function" href="classshark_1_1_diagonal_with_circle.html#a5807a14d10927aed3be29c74601a842b">DiagonalWithCircle</a>( <span class="keywordtype">double</span> radius = 1.0, <span class="keywordtype">double</span> <a class="code hl_variable" href="_mc_svm_linear_8cpp.html#a607bc7e80f2934c0edc34bb19b401332">noise</a> = 0.0 )</div>
<div class="line"><a id="l00346" name="l00346"></a><span class="lineno">  346</span>    : <a class="code hl_variable" href="classshark_1_1_diagonal_with_circle.html#a806414331502bbbb38a87b0dafe74ddd">m_radius2</a>( radius*radius ),</div>
<div class="line"><a id="l00347" name="l00347"></a><span class="lineno">  347</span>      <a class="code hl_variable" href="classshark_1_1_diagonal_with_circle.html#a488467e2c361c652080f898c5cad28c0">m_noiselevel</a>( <a class="code hl_variable" href="_mc_svm_linear_8cpp.html#a607bc7e80f2934c0edc34bb19b401332">noise</a> )</div>
<div class="line"><a id="l00348" name="l00348"></a><span class="lineno">  348</span>    { }</div>
</div>
<div class="line"><a id="l00349" name="l00349"></a><span class="lineno">  349</span>    </div>
<div class="foldopen" id="foldopen00350" data-start="{" data-end="}">
<div class="line"><a id="l00350" name="l00350"></a><span class="lineno"><a class="line" href="classshark_1_1_diagonal_with_circle.html#aead34d360cb03448e0ee6c8a400e0dd0">  350</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_diagonal_with_circle.html#aead34d360cb03448e0ee6c8a400e0dd0" title="Generates a single pair of input and label.">draw</a>(RealVector&amp; input, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&amp; label)<span class="keyword">const</span></div>
<div class="line"><a id="l00351" name="l00351"></a><span class="lineno">  351</span><span class="keyword">    </span>{</div>
<div class="line"><a id="l00352" name="l00352"></a><span class="lineno">  352</span>        input.resize( 2 );</div>
<div class="line"><a id="l00353" name="l00353"></a><span class="lineno">  353</span>        <span class="keywordtype">double</span> x,y;</div>
<div class="line"><a id="l00354" name="l00354"></a><span class="lineno">  354</span>        x = <a class="code hl_function" href="namespaceshark_1_1random.html#a18f302ea18f70835c59935973ba8ea84" title="Draws a number uniformly in [lower,upper] by drawing random numbers from rng.">random::uni</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, 0, 4 ); <span class="comment">//zero is left</span></div>
<div class="line"><a id="l00355" name="l00355"></a><span class="lineno">  355</span>        y = <a class="code hl_function" href="namespaceshark_1_1random.html#a18f302ea18f70835c59935973ba8ea84" title="Draws a number uniformly in [lower,upper] by drawing random numbers from rng.">random::uni</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, 0, 4 ); <span class="comment">//zero is bottom</span></div>
<div class="line"><a id="l00356" name="l00356"></a><span class="lineno">  356</span>        <span class="comment">// assign label according to position w.r.t. the diagonal</span></div>
<div class="line"><a id="l00357" name="l00357"></a><span class="lineno">  357</span>        <span class="keywordflow">if</span> ( x+y &lt; 4 )</div>
<div class="line"><a id="l00358" name="l00358"></a><span class="lineno">  358</span>            label = 1;</div>
<div class="line"><a id="l00359" name="l00359"></a><span class="lineno">  359</span>        <span class="keywordflow">else</span></div>
<div class="line"><a id="l00360" name="l00360"></a><span class="lineno">  360</span>            label = 0;</div>
<div class="line"><a id="l00361" name="l00361"></a><span class="lineno">  361</span>        <span class="comment">// but if in the circle (even above diagonal), assign positive label</span></div>
<div class="line"><a id="l00362" name="l00362"></a><span class="lineno">  362</span>        <span class="keywordflow">if</span> ( (3-x)*(3-x) + (1-y)*(1-y) &lt; <a class="code hl_variable" href="classshark_1_1_diagonal_with_circle.html#a806414331502bbbb38a87b0dafe74ddd">m_radius2</a> )</div>
<div class="line"><a id="l00363" name="l00363"></a><span class="lineno">  363</span>            label = 1;</div>
<div class="line"><a id="l00364" name="l00364"></a><span class="lineno">  364</span>        </div>
<div class="line"><a id="l00365" name="l00365"></a><span class="lineno">  365</span>        <span class="comment">// add noise</span></div>
<div class="line"><a id="l00366" name="l00366"></a><span class="lineno">  366</span>        <span class="keywordflow">if</span> ( <a class="code hl_function" href="namespaceshark_1_1random.html#a18f302ea18f70835c59935973ba8ea84" title="Draws a number uniformly in [lower,upper] by drawing random numbers from rng.">random::uni</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, 0.0, 1.0) &lt; <a class="code hl_variable" href="classshark_1_1_diagonal_with_circle.html#a488467e2c361c652080f898c5cad28c0">m_noiselevel</a> )</div>
<div class="line"><a id="l00367" name="l00367"></a><span class="lineno">  367</span>            label = 1 - label;</div>
<div class="line"><a id="l00368" name="l00368"></a><span class="lineno">  368</span>        input(0) = x;</div>
<div class="line"><a id="l00369" name="l00369"></a><span class="lineno">  369</span>        input(1) = y;</div>
<div class="line"><a id="l00370" name="l00370"></a><span class="lineno">  370</span>    }</div>
</div>
<div class="line"><a id="l00371" name="l00371"></a><span class="lineno">  371</span> </div>
<div class="line"><a id="l00372" name="l00372"></a><span class="lineno">  372</span><span class="keyword">protected</span>:</div>
<div class="line"><a id="l00373" name="l00373"></a><span class="lineno"><a class="line" href="classshark_1_1_diagonal_with_circle.html#a806414331502bbbb38a87b0dafe74ddd">  373</a></span>    <span class="keywordtype">double</span> <a class="code hl_variable" href="classshark_1_1_diagonal_with_circle.html#a806414331502bbbb38a87b0dafe74ddd">m_radius2</a>;</div>
<div class="line"><a id="l00374" name="l00374"></a><span class="lineno"><a class="line" href="classshark_1_1_diagonal_with_circle.html#a488467e2c361c652080f898c5cad28c0">  374</a></span>    <span class="keywordtype">double</span> <a class="code hl_variable" href="classshark_1_1_diagonal_with_circle.html#a488467e2c361c652080f898c5cad28c0">m_noiselevel</a>;</div>
<div class="line"><a id="l00375" name="l00375"></a><span class="lineno">  375</span>};</div>
</div>
<div class="line"><a id="l00376" name="l00376"></a><span class="lineno">  376</span> </div>
<div class="line"><a id="l00377" name="l00377"></a><span class="lineno">  377</span><span class="comment"></span> </div>
<div class="line"><a id="l00378" name="l00378"></a><span class="lineno">  378</span><span class="comment">/// \brief Generates a set of normally distributed points</span></div>
<div class="foldopen" id="foldopen00379" data-start="{" data-end="};">
<div class="line"><a id="l00379" name="l00379"></a><span class="lineno"><a class="line" href="classshark_1_1_normal_distributed_points.html">  379</a></span><span class="comment"></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_normal_distributed_points.html" title="Generates a set of normally distributed points.">NormalDistributedPoints</a>:<span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_data_distribution.html" title="A DataDistribution defines an unsupervised learning problem.">DataDistribution</a>&lt;RealVector&gt;</div>
<div class="line"><a id="l00380" name="l00380"></a><span class="lineno">  380</span>{</div>
<div class="line"><a id="l00381" name="l00381"></a><span class="lineno">  381</span><span class="keyword">public</span>:<span class="comment"></span></div>
<div class="line"><a id="l00382" name="l00382"></a><span class="lineno">  382</span><span class="comment">    /// \brief Generates a simple distribution with </span></div>
<div class="foldopen" id="foldopen00383" data-start="{" data-end="}">
<div class="line"><a id="l00383" name="l00383"></a><span class="lineno"><a class="line" href="classshark_1_1_normal_distributed_points.html#a2a807f0aa71ef029adbb4b453bdadc8a">  383</a></span><span class="comment"></span>    <a class="code hl_function" href="classshark_1_1_normal_distributed_points.html#a2a807f0aa71ef029adbb4b453bdadc8a" title="Generates a simple distribution with.">NormalDistributedPoints</a>(std::size_t dim): m_offset(dim,0){</div>
<div class="line"><a id="l00384" name="l00384"></a><span class="lineno">  384</span>        RealMatrix <a class="code hl_function" href="namespaceshark.html#a0596df3c2544cbca51ec485254c27448" title="Calculates the covariance matrix of the data vectors.">covariance</a>(dim,dim,0);</div>
<div class="line"><a id="l00385" name="l00385"></a><span class="lineno">  385</span>        diag(<a class="code hl_function" href="namespaceshark.html#a0596df3c2544cbca51ec485254c27448" title="Calculates the covariance matrix of the data vectors.">covariance</a>) = blas::repeat(1.0,dim);</div>
<div class="line"><a id="l00386" name="l00386"></a><span class="lineno">  386</span>        m_dist.<a class="code hl_function" href="classshark_1_1_multi_variate_normal_distribution_cholesky.html#a7eea13a233895d60e0ab27837f5f2e7c" title="Sets the new covariance matrix by computing the new cholesky dcomposition.">setCovarianceMatrix</a>(<a class="code hl_function" href="namespaceshark.html#a0596df3c2544cbca51ec485254c27448" title="Calculates the covariance matrix of the data vectors.">covariance</a>);</div>
<div class="line"><a id="l00387" name="l00387"></a><span class="lineno">  387</span>    }</div>
</div>
<div class="foldopen" id="foldopen00388" data-start="{" data-end="}">
<div class="line"><a id="l00388" name="l00388"></a><span class="lineno"><a class="line" href="classshark_1_1_normal_distributed_points.html#af070bd42311a0f21b77964e8f7fd5c64">  388</a></span>    <a class="code hl_function" href="classshark_1_1_normal_distributed_points.html#af070bd42311a0f21b77964e8f7fd5c64">NormalDistributedPoints</a>(RealMatrix <span class="keyword">const</span>&amp; <a class="code hl_function" href="namespaceshark.html#a0596df3c2544cbca51ec485254c27448" title="Calculates the covariance matrix of the data vectors.">covariance</a>, RealVector <span class="keyword">const</span>&amp; offset)</div>
<div class="line"><a id="l00389" name="l00389"></a><span class="lineno">  389</span>    :m_dist(<a class="code hl_function" href="namespaceshark.html#a0596df3c2544cbca51ec485254c27448" title="Calculates the covariance matrix of the data vectors.">covariance</a>), m_offset(offset){</div>
<div class="line"><a id="l00390" name="l00390"></a><span class="lineno">  390</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(offset.size() == <a class="code hl_function" href="namespaceshark.html#a0596df3c2544cbca51ec485254c27448" title="Calculates the covariance matrix of the data vectors.">covariance</a>.size1());</div>
<div class="line"><a id="l00391" name="l00391"></a><span class="lineno">  391</span>    }</div>
</div>
<div class="foldopen" id="foldopen00392" data-start="{" data-end="}">
<div class="line"><a id="l00392" name="l00392"></a><span class="lineno"><a class="line" href="classshark_1_1_normal_distributed_points.html#acdcede1ac2229cb820348c9542ee1b0e">  392</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_normal_distributed_points.html#acdcede1ac2229cb820348c9542ee1b0e" title="Generates a single pair of input and label.">draw</a>(RealVector&amp; input)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00393" name="l00393"></a><span class="lineno">  393</span>        input.resize(m_offset.size());</div>
<div class="line"><a id="l00394" name="l00394"></a><span class="lineno">  394</span>        noalias(input) = m_offset;</div>
<div class="line"><a id="l00395" name="l00395"></a><span class="lineno">  395</span>        noalias(input) += m_dist(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>).first;</div>
<div class="line"><a id="l00396" name="l00396"></a><span class="lineno">  396</span>    }</div>
</div>
<div class="line"><a id="l00397" name="l00397"></a><span class="lineno">  397</span><span class="keyword">private</span>:</div>
<div class="line"><a id="l00398" name="l00398"></a><span class="lineno">  398</span>    <a class="code hl_class" href="classshark_1_1_multi_variate_normal_distribution_cholesky.html" title="Multivariate normal distribution with zero mean using a cholesky decomposition.">MultiVariateNormalDistributionCholesky</a> m_dist;</div>
<div class="line"><a id="l00399" name="l00399"></a><span class="lineno">  399</span>    RealVector m_offset;</div>
<div class="line"><a id="l00400" name="l00400"></a><span class="lineno">  400</span>};</div>
</div>
<div class="line"><a id="l00401" name="l00401"></a><span class="lineno">  401</span><span class="comment"></span> </div>
<div class="line"><a id="l00402" name="l00402"></a><span class="lineno">  402</span><span class="comment">/// \brief Given a set of images, draws a set of image patches of a given size</span></div>
<div class="foldopen" id="foldopen00403" data-start="{" data-end="};">
<div class="line"><a id="l00403" name="l00403"></a><span class="lineno"><a class="line" href="classshark_1_1_image_patches.html">  403</a></span><span class="comment"></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_image_patches.html" title="Given a set of images, draws a set of image patches of a given size.">ImagePatches</a>:<span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_data_distribution.html" title="A DataDistribution defines an unsupervised learning problem.">DataDistribution</a>&lt;RealVector&gt;{</div>
<div class="line"><a id="l00404" name="l00404"></a><span class="lineno">  404</span><span class="keyword">public</span>:</div>
<div class="foldopen" id="foldopen00405" data-start="{" data-end="}">
<div class="line"><a id="l00405" name="l00405"></a><span class="lineno"><a class="line" href="classshark_1_1_image_patches.html#aebd3397b0cd45f13561ffc1596e95973">  405</a></span>    <a class="code hl_function" href="classshark_1_1_image_patches.html#aebd3397b0cd45f13561ffc1596e95973">ImagePatches</a>(</div>
<div class="line"><a id="l00406" name="l00406"></a><span class="lineno">  406</span>        <a class="code hl_class" href="classshark_1_1_data.html" title="Data container.">Data&lt;RealVector&gt;</a> images, </div>
<div class="line"><a id="l00407" name="l00407"></a><span class="lineno">  407</span>        std::size_t imageWidth, std::size_t imageHeight,</div>
<div class="line"><a id="l00408" name="l00408"></a><span class="lineno">  408</span>        std::size_t patchWidth, std::size_t patchHeight</div>
<div class="line"><a id="l00409" name="l00409"></a><span class="lineno">  409</span>    ):m_images(images)</div>
<div class="line"><a id="l00410" name="l00410"></a><span class="lineno">  410</span>    , m_imageWidth(imageWidth)</div>
<div class="line"><a id="l00411" name="l00411"></a><span class="lineno">  411</span>    , m_imageHeight(imageHeight)</div>
<div class="line"><a id="l00412" name="l00412"></a><span class="lineno">  412</span>    , m_patchWidth(patchWidth)</div>
<div class="line"><a id="l00413" name="l00413"></a><span class="lineno">  413</span>    , m_patchHeight(patchHeight)</div>
<div class="line"><a id="l00414" name="l00414"></a><span class="lineno">  414</span>    ,m_numImages(m_images.numberOfElements()){}</div>
</div>
<div class="line"><a id="l00415" name="l00415"></a><span class="lineno">  415</span>        </div>
<div class="foldopen" id="foldopen00416" data-start="{" data-end="}">
<div class="line"><a id="l00416" name="l00416"></a><span class="lineno"><a class="line" href="classshark_1_1_image_patches.html#a01400c960d4da83f22837902c459d35e">  416</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_image_patches.html#a01400c960d4da83f22837902c459d35e" title="Generates a single pair of input and label.">draw</a>(RealVector&amp; input)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00417" name="l00417"></a><span class="lineno">  417</span>        <span class="comment">//sample image</span></div>
<div class="line"><a id="l00418" name="l00418"></a><span class="lineno">  418</span>        std::size_t imageNum = <a class="code hl_function" href="namespaceshark_1_1random.html#aa64d4174eaf7111b03e0504eaa56b666" title="Draws a discrete number in {low,low+1,...,high} by drawing random numbers from rng.">random::discrete</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, std::size_t(0),m_numImages-1);</div>
<div class="line"><a id="l00419" name="l00419"></a><span class="lineno">  419</span>        <a class="code hl_typedef" href="group__shark__globals.html#ga9c2ebc84cb3ca390c09b6d4e32d5e7f6">Data&lt;RealVector&gt;::const_element_reference</a> image = m_images.<a class="code hl_function" href="group__shark__globals.html#ga0ea72a74a21d5ff59772516b83c4a58b">element</a>(imageNum);</div>
<div class="line"><a id="l00420" name="l00420"></a><span class="lineno">  420</span>        <span class="comment">//draw the upper left corner of the image</span></div>
<div class="line"><a id="l00421" name="l00421"></a><span class="lineno">  421</span>        std::size_t m_startX = <a class="code hl_function" href="namespaceshark_1_1random.html#aa64d4174eaf7111b03e0504eaa56b666" title="Draws a discrete number in {low,low+1,...,high} by drawing random numbers from rng.">random::discrete</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, std::size_t(0),m_imageWidth-m_patchWidth);</div>
<div class="line"><a id="l00422" name="l00422"></a><span class="lineno">  422</span>        std::size_t m_startY = <a class="code hl_function" href="namespaceshark_1_1random.html#aa64d4174eaf7111b03e0504eaa56b666" title="Draws a discrete number in {low,low+1,...,high} by drawing random numbers from rng.">random::discrete</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, std::size_t(0),m_imageHeight-m_patchHeight);</div>
<div class="line"><a id="l00423" name="l00423"></a><span class="lineno">  423</span>        </div>
<div class="line"><a id="l00424" name="l00424"></a><span class="lineno">  424</span>        </div>
<div class="line"><a id="l00425" name="l00425"></a><span class="lineno">  425</span>        <span class="comment">//copy patch</span></div>
<div class="line"><a id="l00426" name="l00426"></a><span class="lineno">  426</span>        input.resize(m_patchWidth * m_patchHeight);</div>
<div class="line"><a id="l00427" name="l00427"></a><span class="lineno">  427</span>        std::size_t rowStart = m_startY * m_imageWidth + m_startX;</div>
<div class="line"><a id="l00428" name="l00428"></a><span class="lineno">  428</span>        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> y = 0; y &lt; m_patchHeight; ++y){</div>
<div class="line"><a id="l00429" name="l00429"></a><span class="lineno">  429</span>            <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> x = 0; x &lt; m_patchWidth; ++x){</div>
<div class="line"><a id="l00430" name="l00430"></a><span class="lineno">  430</span>                input(y * m_patchWidth + x) = image(rowStart+x);</div>
<div class="line"><a id="l00431" name="l00431"></a><span class="lineno">  431</span>            }</div>
<div class="line"><a id="l00432" name="l00432"></a><span class="lineno">  432</span>            rowStart += m_imageWidth;</div>
<div class="line"><a id="l00433" name="l00433"></a><span class="lineno">  433</span>        }</div>
<div class="line"><a id="l00434" name="l00434"></a><span class="lineno">  434</span>    }</div>
</div>
<div class="line"><a id="l00435" name="l00435"></a><span class="lineno">  435</span><span class="keyword">private</span>:</div>
<div class="line"><a id="l00436" name="l00436"></a><span class="lineno">  436</span>    <a class="code hl_class" href="classshark_1_1_data.html" title="Data container.">Data&lt;RealVector&gt;</a> m_images;</div>
<div class="line"><a id="l00437" name="l00437"></a><span class="lineno">  437</span>    std::size_t m_imageWidth;</div>
<div class="line"><a id="l00438" name="l00438"></a><span class="lineno">  438</span>    std::size_t m_imageHeight;</div>
<div class="line"><a id="l00439" name="l00439"></a><span class="lineno">  439</span>    std::size_t m_patchWidth;</div>
<div class="line"><a id="l00440" name="l00440"></a><span class="lineno">  440</span>    std::size_t m_patchHeight;</div>
<div class="line"><a id="l00441" name="l00441"></a><span class="lineno">  441</span>    std::size_t m_numImages;</div>
<div class="line"><a id="l00442" name="l00442"></a><span class="lineno">  442</span>};</div>
</div>
<div class="line"><a id="l00443" name="l00443"></a><span class="lineno">  443</span> </div>
<div class="line"><a id="l00444" name="l00444"></a><span class="lineno">  444</span>}</div>
<div class="line"><a id="l00445" name="l00445"></a><span class="lineno">  445</span><span class="preprocessor">#endif</span></div>
</div><!-- fragment --></div><!-- contents -->
</div>
</body>
</html>
